What is Serverless Computing? | Pros and Cons of serverless computing

Serverless Computing is a popular concept that you can find out there. This is one of the cloud execution models, which helps the developers develop native-cloud applications and then operate them within the cloud cost-effectively. Continue to read this article, and we will share all the additional information you need about serverless.

What is serverless computing?

What is serverless, and what is the definition of serverless? Serverless computing is a cloud computing model in which a cloud provider runs and manages the server infrastructure for a customer, allowing the customer to only pay for the resources they use on an as-needed basis.
This differs from traditional cloud computing models, such as Infrastructure as a Service (IaaS) and Platform as a Service (PaaS), in which the customer is responsible for managing and scaling their server infrastructure.
Now you have a good understanding of what is meant by serverless. Hence, let’s dive deep and learn more about what serverless is all about.
The concept of serverless computing can be divided into two main components: functions as a service (FaaS) and backend as a service (BaaS). FaaS allows customers to run their code on the cloud provider’s servers without worrying about managing the underlying infrastructure.
This is accomplished through “functions,” which are small, single-purpose pieces of code triggered by specific events, such as a user uploading a file or a device sending a message.
BaaS, on the other hand, is a way for customers to use the cloud provider’s pre-built, pre-configured services for common backend tasks, such as authentication, database management, and storage. This allows customers to focus on building their applications and not worry about the underlying infrastructure.
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Advantages of serverless computing

Now you know what is serverless computing. Let’s move on to explore the advantages and disadvantages of serverless computing. In this section on the pros and cons of serverless computing, we will be highlighting the benefits.

– It is scalable
One of the biggest advantages of serverless computing is its scalability. Because customers only pay for the resources they use, they can quickly scale their applications up or down as needed without worrying about over-provisioning or under-provisioning resources. This makes it ideal for applications that experience sudden spikes in traffic or usage, as the cloud provider will automatically scale the resources to meet demand.

– It is cost-effective
Another advantage of serverless computing is its cost-effectiveness. Because customers only pay for the resources they use, they can save on infrastructure costs and only pay for what they need. Additionally, because the cloud provider manages and scales the infrastructure, customers can save money on operational costs.

– It is easy to deploy applications
Developers will find it an easy task to deploy applications within the serverless cloud. In other words, it would take only a few hours or days to complete a deployment instead of taking a few weeks or months. This can eventually help the developers to save a considerable amount of time.

– Increasing productivity of developers
The developers can increase their productivity when working with serverless computing. That’s because they don’t have to deal with servers and their runtimes. Instead, the developers will be able to spend more time writing the code and developing applications.
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– Debugging is quite difficult
Despite the advantages of serverless computing, it has its drawbacks. One of the biggest drawbacks is that it can be more difficult to debug and troubleshoot issues, as customers need direct access to the underlying infrastructure. Additionally, because customers are reliant on the cloud provider for infrastructure, they may be at a disadvantage if the provider experiences an outage or other issue.

– Lack of control over underlying infrastructure

One major disadvantage of serverless computing is the lack of control over the underlying infrastructure. Since the cloud provider is responsible for managing the servers, developers cannot access or make changes to them.
This can be a problem if a specific configuration is needed for an application or if a specific version of a dependency is required.

– It can be more expensive
In addition, serverless computing can be more expensive than traditional server-based computing for certain workloads. For example, if an application requires many low-frequency, long-running tasks, serverless computing costs can quickly add up. This is because serverless computing is typically priced based on the number of requests or times a function runs rather than the number of resources used.

– Cold-start issues
Furthermore, a cold start issue occurs when a serverless function is invoked after a period of inactivity. This can cause a delay in the function’s response time, which can be a problem for applications that require low latency.
If you are looking forward to deploying applications requiring low latency, there are better options than serverless architecture. Instead of looking at it, consider moving to a server to deploy the application.

Conclusion
Serverless computing is a cloud computing model in which a cloud provider runs and manages the server infrastructure for a customer, allowing the customer to only pay for the resources they use on an as-needed basis.
It offers advantages such as scalability and cost-effectiveness but also has drawbacks such as difficulty in debugging and troubleshooting. As technology continues to evolve and mature, it will likely become an increasingly popular option for businesses and organizations of all sizes.


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